Jennifer Marsh has 25 years of legal industry experience in a career combining the legal, data, and technical domains. After graduating from law school Magna Cum Laude, with an intellectual property concentration, she practiced as a litigator and intellectual property attorney for 9 years. During this time, she worked for a prominent New Jersey firm, in the New York office of WilmerHale, and as a solo practitioner who also covered in-house trademark attorneys on leave.
Her transition from traditional practice to legal technology was not an abrupt change, but a slow pivot. In 2007, she started writing intellectual property articles for Bloomberg while practicing. Then in 2008, She was hired on to Bloomberg’s intellectual property team, where she became one of the original legal analysts who both created content (she covered trademark and entertainment legal topics) and built out what would become the first version of the Bloomberg Law website. This involved creating data taxonomies and wireframes, as well as cultivating legal data and content.
From there, she moved to Bloomberg’s Global Data Department with a focus on legal data. Her first leadership role was as an interim team lead in 2010 for a team developing the Points of Law product feature. She also worked in data licensing before taking on the career-defining role of Global Data Lead for the Dockets and Breaking Complaints products in 2013.
In this pivotal role, Jennifer was hand-picked to lead a team that grew to 14, working with two engineering teams, as they expanded and enhanced both the Dockets and Breaking Complaints products. Specifically, this team would expand dockets coverage to a market-leading position, while simultaneously reducing operating expenses. During this time, the team shipped and expanded the award-winning Docket Key machine-learning feature. The team also expanded the Breaking Complaints product to cover more breaking legal cases than ever before, while redesigning product operations resulting in a drastic budget reduction.
After the Dockets product matured, in 2019, she moved to an internal consulting role at Bloomberg as a Business Lead on the Business Intelligence team in the Technical Operations division of Global Data. There she covered Bloomberg Law and Non-securitized Data, working with data teams on operational visualization, vendor and resource management, tech stack utilization, and data process engineering.
Maintaining her legal background while further entwining it with her data skills, she worked for a year as a Bloomberg Law Principal Legal Analyst at the intersection of litigation and analytics. She has published countless articles on Bloomberg over the years on intellectual property, litigation, and analytical topics. One series on the uptick of voting cases in 2020 even led her to be the sole legal analyst for Bloomberg News’s Live Blogging Event covering the 2020 Presidential Election.
Expanding her experience beyond Bloomberg, Jennifer took roles with several startups. She worked as a Product Manager and Product Analyst for InfoTrack US, where she led an initiative to improve a struggling product. She also worked as a Senior Product Manager leading the James Publishing integration at Casetext. She worked with an analytics startup leading an environmental compliance initiative that helped a state agency understand and gain insight from environmental reports. Most recently, she has been writing about and exploring Generative Artificial Intelligence and is working on a team testing output for a legal product.
Over the last 10 years, Jennifer has fully transitioned from an attorney to a well-rounded technologist. She became competent in SQL, Python, and analytical tools like Qlik, Power BI, and Tableau. She studied statistics, advanced analytics with General Assembly, data science, machine learning, and natural language processing. She completed several full Codecademy career pathways, involving hundreds of hours of study, in machine learning, analytics, and business intelligence. She also took classes in Product Design with the Institute of Product Leadership, Modern Product Leadership with the University of Maryland’s A. James Clark School of Engineering, and became a Scrum.org certified Professional Scrum Product Owner, Scrum Master, and Agile Leader.
Jennifer is looking to work fractionally as a startup's first product manager or in technical operations. She excels at leading teams building a new data or content product or turning around a struggling one. She is also fantastic at solving tough problems using analytics and connecting dots across domains. She would entertain permanent positions as a Senior Product Manager in legal technology or a content/data product, as well as Senior-level (Director or above) roles in data or technical operations.